Generative Artificial Intelligence Development, Models, Healthcare Applications, and Future Directions: A Review

Generative Artificial Intelligence (GAI) has been gaining momentum in recent years and is becoming revolutionary in many ways. This study examines the development of GAI, examining its fundamental structures, approaches, and significant advances. We examine specific applications of GAI in healthcare, emphasizing its role in areas such as drug discovery, personalized medicine, diagnostic tools, and patient care. This article also addresses the obstacles and opportunities to join together to form a single organization GAI into healthcare, such as ethical issues, data privacy, and process control. Finally, we provide a detailed overview of future models and potential developments in GAI, focusing on upcoming new models, their potential for broader use, and their implications for the healthcare sector and society at large. The evolution of generative artificial intelligence, the models that underpin it and its revolutionary uses in healthcare are all examined in this review. In this quickly changing sector, it also shows new trends and future directions.